Handwritten Document Analysis for Automatic Writer Recognition

In this paper, we show that both the writer identification and the writer verification tasks can be carried out using local features such as graphemes extracted from the segmentation of cursive handwriting. We thus enlarge the scope of the possible use of these two tasks which have been, up to now,...

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Bibliografiske detaljer
Main Authors: Ameur Bensefia, Thierry Paquet, Laurent Heutte
Format: Article
Sprog:English
Udgivet: Computer Vision Center Press 2005-10-01
Serier:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Fag:
Online adgang:https://elcvia.cvc.uab.es/article/view/97